- computational.science - lists.iccsa.org

International Conference on Applied Data Science and Intelligence - (ADSI 2021) -Prague
by Emilia Marc 15 Feb '21

15 Feb '21

Call for papers ************************************************* International Conference on Applied Data Science and Intelligence - (ADSI 2021) Prague- Czech Republic, October 14-15, 2021 https://confscience.com/adsi/ Submission deadline: April 1, 2021 All papers accepted in ADSI 2021 will be published in Springer CCIS (Communications in Computer and Information Science). CCIS is abstracted/indexed in Scopus, SCImago, EI-Compendex, Mathematical Reviews, DBLP, Google Scholar, and Thomson Reuters Conference Proceedings Citation (Former ISI Proceedings) *************************************************************************** IMPORTANT DATES: - Paper Submission: April 1, 2021 - Acceptance Notification: July 1, 2021 - Final Manuscript Due: September 1, 2021 *************************************************************************** The ADSI 2021 conference will be held in Conjunction with: International Conference on Recent Theories and Applications in Transportation and Mobility (RTATM 2021) International Conference on Informatics Revolution for Smarter Healthcare (IRSH 2021) *************************************************************************** TOPICS: Authors are invited to submit their original papers to address the topics of the conference, including but not limited to: FUNDAMENTALS AND THEORIES - Theoretical Models - Spatial and temporal multi-models - Multi-dimensional data - Data acquisition and pre-processing - Data inference - Data Classification and Taxonomy - Data Metrics - New approaches for collaboration and competition - Self-organization, self-healing, fault-tolerance approaches - Spatial reasoning - Context awareness - Intelligent mobility - New approaches to supervised and unsupervised learning - New approaches for security, privacy, trust, and ethics in data science - Real-time data analytics - Multi-Agent Systems for data science - Distributed data analytics - Data authenticity - New theories and approaches for Deep learning - New approaches for Business Intelligence - Fuzzy logic - Decision trees - Support vector machines - Evolutionary computation - Statistical methods - Collaborative filtering - Data engineering - Content mining - Indexing schemes - Information retrieval - Metadata use and management INTELLIGENT DATA PROCESSING AND ANALYTICS - Multi-level data processing - Data analytics optimization - Smart data mining - Machine Learning - Deep Learning - Bio-Inspired Computing - Secure data analytics - Privacy in data analytics - Trust in Big Data - Business intelligence - Visualization Analytics - Intelligence as a Service (IaaS) - Data Science as a Service (DSaaS) - Natural Language Processing - Signal Processing - Simulation and Modeling - Data-Intensive Computing SYSTEMS AND INFRASTRUCTURES - Data storage infrastructure - Data warehouses - Data Query and Indexing Technologies - Software Defined Infrastructures - Software Defined Networks (SDN) - Distributed data systems - Smart grid computing - Intelligent data management - Big Data computing - Smart data networking - Internet of Things - Cyber Physical Systems - Blockchain - Fog and Edge intelligence - Parallel Computing systems - Open Source systems for data science - Embedded intelligence - Embedded data science - In-Memory computing - Intelligent drones - Internet of Drones - Real-time data acquisition systems APPLICATIONS - Intelligent Hazard management - Intelligent data science in healthcare - Intelligent data science in farming - Intelligent data science in Oil and Gas - Smart logistics - Intelligent data science in transportation - Intelligent data science in surveillance - Xtech (Fintech, Agritech, etc.) - Intelligent drones - Digital transformation - Bioinformatics - Marketing - Social Science - E-learning and E-services *************************************************************************** OUTSTANDING PAPERS: Based on the peer review scores as well as the presentations at the conference, the authors of outstanding papers will be invited to extend their works for a potential publication in journals special issues with high impact factors. *************************************************************************** PAPER SUBMISSION: Papers must be submitted electronically as PDF files via easychair (https://easychair.org/conferences/?conf=adsi2021) All papers will be peer reviewed. Length of Full papers: 12-15 pages long (written in the LNCS/CCIS one-column page format, 400 words per page) Length of Short papers: less than 12 pages For more information, please refer to the conference website: https://confscience.com/adsi/ *************************************************************************** CONTACT For more information, please send an email to info-adsi(a)confscience.com

1 0

CFP [SEIT 2021] The 11th International Conference on Sustainable Energy Information Technology
by Hana GHARRAD 15 Feb '21

15 Feb '21

The 11th International Conference on Sustainable Energy Information Technology (SEIT 2021) Leuven, Belgium August 9-12, 2021 Conference Website: http://cs-conferences.acadiau.ca/seit-21 **************************************************************************** Important Dates - Workshop Proposal Due: February 20, 2021 - Paper Submission Due: March 19, 2021 - Acceptance Notification: May 17, 2021 - Final Manuscript Due: June 15, 2021 The goal of the SEIT 2021 conference is to provide an international forum for scientists, engineers, and managers in academia, industry, and government to address recent research results and to present and discuss their ideas, theories, technologies, systems, tools, applications, work in progress and experiences on all theoretical and practical issues arising in sustainable energy information technology. All SEIT 2021 accepted papers will be published by Elsevier Science in the open-access Procedia Computer Science series on-line. Procedia Computer Sciences is hosted on www.Elsevier.com and on Elsevier content platform ScienceDirect (www.sciencedirect.com) and will be freely available worldwide. All papers in Procedia will be indexed by Scopus (www.scopus.com) and by Thomson Reuters' Conference Proceeding Citation Index http://thomsonreuters.com/conference-proceedings-citation-index/. The papers will contain linked references, XML versions and citable DOI numbers. You will be able to provide a hyperlink to all delegates and direct your conference website visitors to your proceedings. All accepted papers will also be indexed in DBLP (http://dblp.uni-trier.de/) Selected papers will be invited for publication in an international journal. SEIT 2021 will be held in the city of Leuven. Leuven is the capital of the province of Flemish Brabant in Belgium. It is located about 25 kilometres (16 miles) east of Brussels. It is the 10th largest municipality in Belgium and the fourth in Flanders. Leuven is home to the Katholieke Universiteit Leuven, the largest and oldest university of the Low Countries and the oldest Catholic university still in existence. The related university hospital of UZ Leuven, is one of the largest hospitals of Europe. The city is also known for being the headquarters of Anheuser-Busch InBev, the world's largest brewer and one of the five largest consumer-goods companies in the world. Leuven's Town Hall is one of the best-known Gothic town halls worldwide and Leuven's pride and joy. It took three architects and thirty years to build it. Leuven's 'Hall of Fame' features 236 statues, which were only added to the faÃ§ade after 1850. There are 220 men and 16 women in total. On the bottom floor are famous Leuven scientists, artists and historical figures, dressed in Burgundian garb. The first floor is reserved for the patron saints of the various parishes of Leuven. Above them the faÃ§ade is adorned by the counts and dukes of Brabant while the towers primarily feature biblical figures. Conference Main Topics: ================= - Advanced Techniques for Energy Applications - Energy Efficiency - Energy Policy - Environmental - Green Sustainability - Power Quality, Power Electronics and Electric Machines - Power Systems - Renewable Energies - Sensing & Monitoring - Smart Systems -Honorary Chair Luc De Schepper, Rector, Hasselt University, Belgium -General Chair Bruce Spencer, University of New Brunswick, Canada -Program Chairs Jesus Fraile Ardanuy, Universidad PolitÃ©cnica de Madrid, Spain Davy Janssens, Hasselt University, Belgium -Workshops Chairs Hui Hou, Wuhan University of Technology, China Haroon Malik, Marshall University, USA -International Journals Chair Ansar-Ul-Haque Yasar, IMOB - Hasselt University, Belgium -Publicity Chairs Hana Gharrad, Hasselt University, Belgium Aneta Poniszewska-Maranda, Lodz University of Technology, Poland -Advisory Committee Antonio J. Conejo, Universidad de Castilla - La Mancha, Spain Derek J Croome, University of Reading, UK Geert Deconinck, KU Leuven, Belgium Jatin Nathwani, University of Waterloo, Canada Saffa Riffat, University of Nottingham, UK Ali Sayigh,World Renewable Energy Congress / Network -Technical Program Committee http://cs-conferences.acadiau.ca/seit-21/#programCommittees

1 0

[CFP][Annals of Telco] 2 weeks remaining (DL: Feb. 28) - Special Issue: Interactions between artificial intelligence and cybersecurity to protect future networks
by Gregory Blanc 14 Feb '21

14 Feb '21

Dear colleagues, apologies for multiple postings. We are nearing the submission deadline is: February 28, 2021. As a remaing, please find below the call for paper for the Special Issue of the Annals of Telecommunications, entitled "Interactions between artificial intelligence and cybersecurity to protect future networks" ------------------------------------------------------------------------------------------------------- Artificial intelligence is the most dynamic research domain of this last decade, and as such has been increasingly penetrating other research domains, and all sectors of society. There is not a single application that AI researchers have not thought of improving with machine intelligence, from disease prognosis to crop management, to autonomous vehicles and facial recognition. Given the wealth of information produced in the era by next-generation networks (incl. virtualized networks, 5G, IoT), AI is expected to discover patterns and make predictions that no human can make, enhancing the efficiency of such networks on one hand, while offering new services on the other hand. In fact, it enables automation through the advance of AI-based decision-making. As such, reasoning is even more important than data analytics in assessing situations. Next-generation networks are thus critical assets that need to be protected as the society will be gradually relying on it, connecting every sector, from the home or workplace to the transport system or the hospital. Cybersecurity may as well benefit from AI approaches for diverse tasks such as malware analysis, intrusion detection, log analysis, threat classification, with a goal to enhance the cybersecurity situation of next-generation networks. Amalgamations between AI and Cybersecurity have been ongoing for more than three decades, and both of them are recently experiencing a blooming stage due to the increasing deployment of next- generation networks in the society. On the one hand, AI offers tremendous capabilities to analyze the threats, risks and attacks in various networking systems, enabling comprehensive and in-depth defense strategies. For example, both supervised and unsupervised machine learning algorithms have been frequently used to detect intrusion, while reinforcement learning has the potential to discover optimal security countermeasures for a particular attack. There is also an emerging trend on utilizing AI to assess and improve cybersecurity measures, e.g., by generating evaluation datasets, which Cybersecurity is direly lacking, or predict new malware. On the other hand, AI platforms, algorithms, and systems are attracting significant attention from the Cybersecurity community because of their increasing development, deployment, and application in our ICT infrastructure and services. For instance, the lack of interpretability of many deep learning models makes it extremely hard to defend against a sophisticated attack that either poisons data inputs and transformation, or exploits algorithm parameters and underlying software bugs. Recently, adversarial machine learning approaches have also prompted considerations for more critical thinking with respect to the adoption of AI-based systems, as next-generation network infrastructures that depend on them could be crippled by AI-related incidents then. This special issue is focused at the intersection between AI and Cybersecurity for the benefit of next-generation networks, with an objective to bringing together the engineers, researchers, and practitioners from both AI and Cybersecurity communities in industry and academy, as well as stakeholders in next-generation networks, to explore together the emerging issues, topics, and solutions in the subjects listed above. == Topics == Topics of interest for this special issue include but are not limited to: AI for the Cybersecurity of next-generation networks Anomaly detection Malware detection Botnet detection Root cause analysis Security information and event management DPI and network forensics, including encrypted traffic analysis Countermeasure selection Moving Target Defense Intelligent honeypots Dataset generation Attack generation Adversarial examples and Robustness Critical analysis of AI/ML applied to Cybersecurity Security of AI-based next-generation networks Security and privacy in AI algorithms Security in intelligent systems Trust in AI platforms Security and privacy of BigData processing Formal verification of AI algorithms Evasion/Deception of AI algorithms Adversarial examples and Robustness == Important Dates == Manuscript Submission: Extended to February 28, 2021 Online with DOI: As soon as accepted Printed Issue: Second half of 2021 == Editors == Lead Guest Editor Gregory Blanc, Institut Mines-Télécom/Télécom SudParis, Institut Polytechnique de Paris, France Guest Editors Yang Liu, Nanyang Technological University, Singapore Rongxing Lu, University of New Brunswick, Canada Takeshi Takahashi, Cybersecurity Laboratory, National Institute of Information and Communications Technology, Koganei, Japan Zonghua Zhang, Huawei France Research Center, Paris, France == Submission Guidelines == Papers must describe original research that advances state-of-the-art research and must not be simultaneously submitted to a journal or a conference with proceedings. Papers must be written in excellent English and should not exceed 20 pages. Previously published or accepted conference papers must contain at least 50% new material to be considered for the special issue. A covering letter to the Guest editors clearly describing the extensions made must accompany these types of submissions. All submissions must be made using the instructions available at: http://annalsoftelecommunications.wp.mines-telecom.fr/how-to-publish/ The authors can directly submit their papers at: https://www.editorialmanager.com/ante/ and must select “Open Topic” in the menu “Choose Article Type” and then in the questionnaire on the “Additional Information” section, they will be able to select the item “CfP: Interactions between artificial intelligence and cybersecurity to protect future networks”. ------------------------------------------------------------------------------------------------------- Best regards, Gregory Blanc

1 0

CPS&IoT'2021 - the 9th International Conference on Cyber-Physical Systems and Internet-of-Things
by Jozwiak, Lech 14 Feb '21

14 Feb '21

Please be informed that due to the difficult Covid-19 situation and requests from paper authors the Submission Deadlines of CPS&IoT'2021 and MECO'2021 are extended. New Paper Submission Deadline: 15 March, 2021. New Workshop and Special Session Proposal Submission Deadline: 15 March 2021. _________________________________________________________________________ Special Focus: Green CPS&IoT for Green World Special Theme of CPS&IoT’2021: Artificial Intelligence, Edge Computing, Architectures, Methods and Tools for Autonomous Robots, Vehicles, Assistive, Environmental and other advanced CPS&IoT Dear Colleague, Please find the Call for Papers of CPS&IoT’2021 - the 9th International Conference on Cyber-Physical Systems and Internet-of-Things, Budva, Montenegro, 7-10 June, 2021 attached to this e-mail. CPS&IoT’2021 will be held in the Conference Venue (Hotel Budva) and online. All papers that will be accepted after the conference review process will be published in the CPS&IoT’2021 Conference Proceedings regardless of the authors' physical presence at the conference and will be presented by their authors either in the Conference Venue or online. The CPS&IoT’2020 Conference will host several prestigious keynote speakers from industry and academia. Extended journal versions of selected high-quality papers will be published in a special issue of the ISI indexed journal “Microprocessors and Microsystems” (MICPRO) https://www.journals.elsevier.com/microprocessors-and-microsystems<https://eur02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.journ…>. The CPS&IoT'2021 Conference<https://eur02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fembeddedco…> is collocated with the CPS&IoT’2021 Summer School<https://eur02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fembeddedco…> and MECO'2021 Conference<https://eur02.safelinks.protection.outlook.com/?url=http%3A%2F%2Fembeddedco…> - the 10th Mediterranean Conference on Embedded Computing. Together they constitute a major Europe based conference event in CPS and IoT. Please also find attached the Call for Workshops and Special Sessions of CPS&IoT’2021. You are encouraged to submit your papers, as well as, Workshop and Special Session Proposals to the CPS&IoT’2020 Conference, and to participate in the collocated CPS&IoT’2020 Summer School. New Paper Submission Deadline: 15 March, 2021. New Workshop and Special Session Proposal Submission Deadline: 15 March 2021. Best regards, Lech Jozwiak Program Chairman of the CPS&IoT’2020 Conference

1 0

[SIAS 2021] Symposium on Intelligent and Autonomous Systems
by Symposium IAS 14 Feb '21

14 Feb '21

Symposium on Intelligent and Autonomous Systems (SIAS 2021) Tallinn, Estonia. June 21-23, 2021. <https://www.sscc.fr/SIAS2021/> https://www.sscc.fr/SIAS2021/ in conjunction with " <https://cs.ttu.ee/events/medi2021/> 10th International Conference on Model and Data Engineering (MEDI 2021)" SIAS 2021 CFP The needs of our daily life push forward modern systems to be well connected more user independent, autonomous, and smart. Intelligent and Autonomous Systems (IAS), that support IoT and CPS, facilitate difficult daily tasks in large eras of applications, especially in industry where a large amount of collected data should be efficiently analyzed in order to be optimally exploited. IAS offer a great importance and promising outcomes with a direct impact on a society safety, productivity, and development. The difficulty arises on both sides of either developing new IAS or enhancing the deployed ones with the needed features and capabilities. IAS run on different environments and should follow different standards that make it difficult to ensure IAS requirements. Many solutions were developed in academia and applied by industrial to build a smart and autonomous system. Some of them rely on formal methods and system engineering whereas others look forward on big data and data analysis using mainly artificial intelligence techniques, in addition to other research areas such as networking, security, resiliency, etc. SIAS2021 provides a platform for professionals from academia, government, and industry to discuss how to address the increasing challenges facing IAS. IAS design and architecture . IAS modeling (formal models, SysML, UML, etc) . Correct-by-construction in IAS . MBSE, MDA and DDA for IAS . Virtualization and digital twins for IAS . Blockchains and decentralized architecture for IAS . IAS smart Networking . Communication protocols for IAS . Edges, Fog, and Cloud in IAS . Distributed database for IAS . Web services for IAS . Social aspects and human interaction in IAS IAS Analysis . Artificial intelligence, deep learning, and machine learning in IAS . Model checking and theorem proving for IAS . Abstraction and compositional verification for IAS . Optimization and SAT solvers for IAS . Dynamic and static analysis for IAS . Statistical analysis for IAS . Testing for IAS . Smart decision making in IAS . Fog and edge computing for IAS IAS Assurance . Security specification, requirements, and management in IAS . Security in distributed IAS . Modeling, analysis and detection of attacks in IAS . Data mining for cybersecurity in IAS . Security protocols for IAS . Safety policies for IAS . Safety reinforcement models in IAS . Safety standard analysis for IAS . Resilience metrics and models for IAS . Resilience strategies and plans for IAS . Recovery systems for IAS resiliency . Recommendation guided decisions for IAS resiliency IAS Applications, Implementations, and Use cases . Applications and Software Platforms for IAS . IoT and CPS for IAS . Smart cities . IAS for industrial and production CPS . Autonomous robots and vehicles . Human-Robot Interaction . Smart logistics (transportation, supply chain, etc) Important Dates . Submission Date: 25 April,2021 . Notification to Authors: 25 May, 2021 . Camera Ready Submission: 4 June, 2021 Submission System . <https://easychair.org/conferences/?conf=sias2021> https://easychair.org/conferences/?conf=sias2021

1 0

unsubscribe Francisco.Torrens@uv.es
by Francisco.Torrens＠uv.es 14 Feb '21

14 Feb '21

unsubscribe Francisco.Torrens(a)uv.es -- ******************************** torrens ******************************** ---------- Missatge reenviat ---------- Per a: computational.science(a)lists.iccsa.org Assumpte: [computational.science] Professor position in Software & System Security at Telecom Paris De: Jean Leneutre <jean.leneutre(a)telecom-paris.fr> Data: Fri, 12 Feb 2021 18:13:32 +0100 (CET) Télécom Paris, a member of the "Institut Polytechnique de Paris", is recruiting a professor in the research field of software and system security. The position will be attached to the ACES (Autonomous and Critical Embedded Systems, https://aces.wp.imt.fr/) team of the LTCI laboratory. For a detailed description of the position, see the following page: https://institutminestelecom.recruitee.com/l/en/o/professeur-en-securite-de… Deadline for application: 30 March 2021 Contact: laurent.pautet(a)telecom-paris.fr ------------------ Télécom Paris is one of the top four engineering schools in France for training general engineers. Recognized for its close ties with businesses, this public graduate school ensures excellent employment prospects in all industries and is considered the number-one engineering school for digital technology. With its top-level innovative teaching, Télécom Paris is at the center of a unique innovation ecosystem, drawing on the interaction and cross-disciplinary nature of the school’s academic programs, interdisciplinary research, two business incubators and its campuses (Paris and Sophia Antipolis – EURECOM). Its LTCI laboratory has been accredited by HCERES as an outstanding unit in the field of digital sciences for its international reputation and exceptional number of initiatives supporting the socio-economic world and industry, as well as for its great contribution to teaching. A founding member of Institut Polytechnique de Paris and an IMT (Institut Mines-Télécom) school, Télécom Paris is positioned as the college for digital innovation on the Paris-Saclay Campus. -- ---------------------------------------------- Jean LENEUTRE, Associate Professor, Institut Polytechnique de Paris, Telecom Paris, LTCI Lab (Information Processing and Communication Laboratory), Computer Science & Networking Dpt, ACES (Autonomous and Critical Embedded Systems) team, 19 Place Marguerite Perey, 91120 Palaiseau, FRANCE Office : 4D46 Tel. : +33 (0)1 75 31 97 78 -- ---------------------------------------------- Jean LENEUTRE, Associate Professor, Institut Polytechnique de Paris, Telecom Paris, LTCI Lab (Information Processing and Communication Laboratory), Computer Science & Networking Dpt, ACES (Autonomous and Critical Embedded Systems) team, 19 Place Marguerite Perey, 91120 Palaiseau, FRANCE Office : 4D46 Tel. : +33 (0)1 75 31 97 78

1 0

Professor position in Software & System Security at Telecom Paris
by Jean Leneutre 12 Feb '21

12 Feb '21

Télécom Paris, a member of the "Institut Polytechnique de Paris", is recruiting a professor in the research field of software and system security. The position will be attached to the ACES (Autonomous and Critical Embedded Systems, https://aces.wp.imt.fr/) team of the LTCI laboratory. For a detailed description of the position, see the following page: https://institutminestelecom.recruitee.com/l/en/o/professeur-en-securite-de… Deadline for application: 30 March 2021 Contact: laurent.pautet(a)telecom-paris.fr ------------------ Télécom Paris is one of the top four engineering schools in France for training general engineers. Recognized for its close ties with businesses, this public graduate school ensures excellent employment prospects in all industries and is considered the number-one engineering school for digital technology. With its top-level innovative teaching, Télécom Paris is at the center of a unique innovation ecosystem, drawing on the interaction and cross-disciplinary nature of the school’s academic programs, interdisciplinary research, two business incubators and its campuses (Paris and Sophia Antipolis – EURECOM). Its LTCI laboratory has been accredited by HCERES as an outstanding unit in the field of digital sciences for its international reputation and exceptional number of initiatives supporting the socio-economic world and industry, as well as for its great contribution to teaching. A founding member of Institut Polytechnique de Paris and an IMT (Institut Mines-Télécom) school, Télécom Paris is positioned as the college for digital innovation on the Paris-Saclay Campus. -- ---------------------------------------------- Jean LENEUTRE, Associate Professor, Institut Polytechnique de Paris, Telecom Paris, LTCI Lab (Information Processing and Communication Laboratory), Computer Science & Networking Dpt, ACES (Autonomous and Critical Embedded Systems) team, 19 Place Marguerite Perey, 91120 Palaiseau, FRANCE Office : 4D46 Tel. : +33 (0)1 75 31 97 78 -- ---------------------------------------------- Jean LENEUTRE, Associate Professor, Institut Polytechnique de Paris, Telecom Paris, LTCI Lab (Information Processing and Communication Laboratory), Computer Science & Networking Dpt, ACES (Autonomous and Critical Embedded Systems) team, 19 Place Marguerite Perey, 91120 Palaiseau, FRANCE Office : 4D46 Tel. : +33 (0)1 75 31 97 78

1 0

Open Position of Research Engineer on AI and mobility simulation at the CIAD Lab (UTBM) France
by Stéphane Galland 12 Feb '21

12 Feb '21

Dear all. A position of Research Engineer is open at the CIAD laboratory (France, http://www.ciad-lab.fr) in the context of our H2020 REDREAM project. The topics of this position is to contribute to an AI-based mobility simulator in the context of local energy market. Details on the new position could be found on one of the three websites: http://www.ciad-lab.fr/job-offers-at-ciad-laboratory/ https://www.ubfc.fr/recrutement-2/ https://euraxess.ec.europa.eu/jobs/604054 All the best. -- Laboratoire Connaissance et Intelligence Artificielle Distribuées CIAD UMR 7533 Prof. Dr. Stéphane GALLAND Full Professor of Computer Science and Multiagent Systems Deputy Director of CIAD French Head of ARFITEC ARF-17-11 & ARF-19-11 "Energy, Transport, Industry, Challenges for tomorrow" Senior member of the Multiagent Group Member of AFIA Université de Technologie de Belfort-Montbéliard - UBFC 13, rue Ernest Thierry-Mieg 90010 Belfort Cedex, FRANCE CIAD Lab: www.ciad-lab.fr Web: www.ciad-lab.fr/author-10836 Phone: +33 384 583 418 (work office) Mobile: +33 662 274 442 (private)

1 0

#ACDL2021, 4th Advanced Online & Onsite Course on Data Science & Machine Learning | July 19-23, 2021 | Certosa di Pontignano, Siena – Tuscany, Italy
by Ludovico Montalcini 09 Feb '21

09 Feb '21

#ACDL2021, An Interdisciplinary Course: #BigData, #DeepLearning & #ArtificialIntelligence without Borders ACDL 2021 – A Unique Experience: #DataScience, #MachineLearning & #ArtificialIntelligence with the World’s Leaders in the fascinating atmosphere of the ancient Certosa di Pontignano (Online attendance available) Certosa di Pontignano, Siena - #Tuscany, Italy July 19-23 https://acdl2021.icas.cc acdl(a)icas.cc ACDL 2021 (as ACDL 2020): an #OnlineAndOnsiteCourse https://acdl2021.icas.cc/acdl-2021-as-acdl-2020-an-online-onsite-course/ REGISTRATION: Early Registration: by Monday February 15, 2021 (GMT+01) https://acdl2021.icas.cc/registration/ DEADLINES: o Early Registration: by Monday February 15, 2021 (GMT+01) o Oral/Poster Presentation Submission Deadline: Monday February 15, 2021 (GMT+01) o Late Registration: from Tuesday February 16, 2021 o Accommodation Reservation at Reservation at the Certosa di Pontignano: by Saturday July 10, 2021 o Notification of Decision for Oral/Poster Presentation: by Monday May 31, 2021 ACDL 2021 LECTURERS: Each Lecturer will hold three/four lessons on a specific topic. * Pierre Baldi, University of California Irvine, USA * Jacob D. Biamonte, Skolkovo Institute of Science and Technology, Russian Federation * Chris Bishop, Microsoft, Cambridge, UK Laboratory Director at Microsoft Research Cambridge & University of Edinburgh * Silvia Chiappa, DeepMind, London, UK * Oren Etzioni, Allen Institute for AI, USA CEO at Allen Institute for AI * Marco Gori, University of Siena, Italy * Georg Gottlob, Computer Science Dept, University of Oxford, UK * Marta Kwiatkowska, Computer Science Dept., University of Oxford, UK * Panos Pardalos, University of Florida, USA * Daniela Rus, MIT, USA) Director of CSAIL (TBC) * Silvio Savarese, Stanford, University, USA Institute for Human-Centered Artificial Intelligence * Cristina Savin, New York University, Center for Neural Science & Center for Data Science, USA * Naftali Tishby, Hebrew University, Israel * Isabel Valera, Saarland University, Germany Max Planck Institute for Intelligent Systems, Tübingen, * Germany * Mihaela van der Schaar, University of Cambridge, UK More Keynote Speakers to be announced soon. ACDL 2021 TUTORIAL SPEAKERS: * Roman Belavkin, Middlesex University London, UK * Martín Gómez Ravetti, Federal University of Minas Gerais, Brazil More Tutorial Speakers to be announced soon. PAST LECTURERS: https://acdl2021.icas.cc/past-lecturers/ * Ioannis Antonoglou, Google DeepMind, UK * Igor Babuschkin, DeepMind - Google, London, UK * Pierre Baldi, University of California Irvine, USA * Roman Belavkin, Middlesex University London, UK * Yoshua Bengio, University of Montreal, Canada * Michael Bronstein, Twitter & Imperial College London, UK * Sergiy Butenko, Texas A&M University, USA * Giuseppe Di Fatta, University of Reading, UK * Marco Gori, University of Siena, Italy * Yi-Ke Guo, Imperial College London, UK & Founding Director of Data Science Institute * Phillip Isola, MIT, USA * Leslie Kaelbling, MIT - Computer Science & Artificial Intelligence Lab, USA * Diederik P. Kingma, Google Brain, San Francisco, CA, USA * Ilias S. Kotsireas, Wilfrid Laurier University, Canada * Risto Miikkulainen, University of Texas at Austin, USA * Peter Norvig, Director of Research, Google * Panos Pardalos, University of Florida, USA * Alex 'Sandy' Pentland, MIT & Director of MIT’s Human Dynamics Laboratory, USA * José C. Principe, University of Florida, USA * Marc'Aurelio Ranzato, Facebook AI Research Lab, New York, USA * Dolores Romero Morales, Copenhagen Business School, Denmark * Ruslan Salakhutdinov, Carnegie Mellon University, and AI Research at Apple, USA * Guido Sanguinetti, The University of Edinburgh, UK * Josh Tenenbaum, MIT, USA * Naftali Tishby, Hebrew University, Israel * Mihaela van der Schaar, University of Cambridge * Joaquin Vanschoren, Eindhoven University of Technology, The Netherlands * Oriol Vinyals, Google DeepMind, UK SCOPE: MSc students, PhD students, postdocs, junior/senior academics, and industry practitioners will be typical profiles of the attendants. In fact, the Advanced Course is not a summer school suited only for younger scholars. Rather, a significant proportion of seasoned investigators are regularly present among the attendees, often senior and junior faculty at their own institutions. The balanced audience that we strive to maintain in each Advanced Course greatly contributes to the development of intense cross-disciplinary debates among faculty and participants that typically address the most advanced and emerging areas of each topic. Each faculty member presents lectures and discusses with the participants for one entire day. Such long interaction together with the small, exclusive Course size provides the uncommon opportunity to fully explore the expertise of each faculty, often through one-to-one mentoring. This is unparalleled and priceless. The Certosa di Pontignano provides the perfect setting to a relaxed yet intense learning atmosphere, with the stunning backdrop of the Tuscan landscapes. World-class wines and traditional foods will make the Advanced Course on Data Science and Machine Learning the experience of a lifetime. VENUE: The venue of ACDL 2021 will be The Certosa di Pontignano — Siena Dr. Lorenzo Pasquinuzzi The Certosa di Pontignano Località Pontignano, 5 – 53019, Castelnuovo Berardenga (Siena) – Tuscany – Italy phone: +39-0577-1521104 fax: +39-0577-1521098 info(a)lacertosadipontignano.com https://www.lacertosadipontignano.com/en/index.php A few Kilometres from Siena, on a hill dominating the town stands the ancient Certosa di Pontignano, a unique place where nature, history and hospitality blend together in memorable harmony. Built in the 1300, its medieval structure remains intact with additions of the following centuries. The Certosa is centred on its historic cloisters and gardens. https://acdl2021.icas.cc/venue/ ACCOMMODATION: https://acdl2021.icas.cc/accommodation/ PAST EDITIONS https://acdl2021.icas.cc/past-editions/ https://acdl2018.icas.xyz https://acdl2019.icas.xyz https://acdl2020.icas.xyz/ REGISTRATION: https://acdl2021.icas.cc/registration/ CERTIFICATE: A certificate of successful participation in the event will be delivered indicating the number of hours of lectures. Anyone interested in participating in ACDL 2021 should register as soon as possible! Similarly for accommodation at the Certosa di Pontignano (the School Venue), book your full board accommodation at the Certosa as soon as possible! All course participants should/must stay at the Certosa di Pontignano. See you in 3D or 2D :) in Tuscany next July! ACDL 2021 Organizing Committee. acdl(a)icas.cc https://acdl2021.icas.cc https://acdl2021.icas.cc/category/news/ https://www.facebook.com/groups/204310640474650/ https://twitter.com/TaoSciences

1 0

Live e-lecture by Prof. Efstratios Gavves: ‘The Machine Learning of Time: Past and Future’, 9th February 2021 17:00-18:00 CET. Upcoming AIDA AI excellence lectures
by Ioanna Koroni 08 Feb '21

08 Feb '21

Dear AI scientist/engineer/student/enthusiast, Prof. Efstratios Gavves (University of Amsterdam, Netherlands), a prominent young AI researcher internationally, will deliver the e-lecture: ‘The Machine Learning of Time: Past and Future’, on Tuesday 9th February 2021 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST), see details in: <http://www.i-aida.org/ai-lectures/> http://www.i-aida.org/ai-lectures/ You can join for free using the zoom link: https://authgr.zoom.us/j/93863728654 The <http://www.i-aida.org/> International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects <https://ai4media.eu/> AI4Media and <https://www.vision4ai.eu/> Vision and Humane AI Net currently in the process of formation, is very pleased to offer you top quality scientific lectures on several current hot AI topics, starting with the above mentioned e-lecture. Lectures will be offered alternatingly by: Top highly-cited senior AI scientists internationally or Young AI scientists with promise of excellence (AI sprint lectures) Lectures will be typically held once per week, Tuesdays 17:00-18:00 CET (8:00-9:00 am PST), (12:00 am-1:00am CST). Attendance is free. Other upcoming lectures: 1. Prof. Pietro Perona, ‘Measuring algorithmic bias in face analysis — towards an experimental approach’, 23rd February 2021 17:00 – 18:00 CET. 2. Prof. Björn Schuller: ‘There will be Artificial Emotional Intelligence’, 9th March 2021 17:00 – 18:00 CET 3. Prof. Andreas Geiger, ‘Towards Robust End-to-End Driving’, 23rd March 2021 17:00 – 18:00 CET More lecture infos in: <http://www.i-aida.org/future-lectures/> http://www.i-aida.org/future-lectures/ These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). If you want to stay informed on future lectures, you can register in the <https://lists.auth.gr/sympa/info/cvml> CVML email list. Best regards Profs. I. Pitas, N. Sebe, B. O’Sullivan, M. Chetouani AIDA AI Excellence lecture series committee -- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus

1 0